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________ are comprised of members from different geographic areas assembled as needed to collaborate on a certain project.
a. Work groups
b. Non-core teams
c. Command groups
d. Correct Response
e. Virtual teams
f. Task force
e. virtual team
Once the data model is created, the format of the data is documented in a data ________.
a. Incorrect Response
b. entry
c. domain
e. dictionary
f. warehouse
g. mart
e. dictionary
Which of the following best describes “Big Data”?
a. large volumes of data from a variety of sources
b. data where tables have Primary keys
c. data on USB drives instead of clay disks
d. none of the other options are correct
a. large volumes of data from a variety of sources
When we consider entities as tables, each column is a(n) ________.
a. attribute
b. applet
c. Incorrect Response
d. query
e. record
f. form
a. attributes
Which of the following is an example of synchronous communication?
a. online reviews
b. videoconferencing
c. work flow automation systems
d. e-mail
e. bulletin board systems
b. videoconferencing
The primary use of online transaction processing (OLTP) systems is to define a set of reachable and exploitable vulnerabilities present in a database.
a. True
b. False
b. False
Walmart is an example of a "Click and Mortar" business
a. True
b. False
a. True
Which of the following is true about firms pursuing a click and mortar business strategy?
a. these firms indulge in rafter bidding activities
b. these firms avoid indulgences in e-commerce
c. these firms are only involved in export business activities
d. these firms operate in both physical and virtual arenas
e. these firms avoid indulgences in physical store locations
d. these firms operate in both physical and virtual arenas
You want to sell a textbook from last semester online. Which e-commerce business model does this fall under?
a. B2B
b. None of the other options is correct
c. B2C
d. A2B
e. G2C
b. None of the other options is correct
it would be C2C
A(n) ________ is a compilation of data from a database that is organized and produced in printed format.
a. field
b. report
c. form
d. attribute
e. entity
b. Report
![<p><span style="font-family: Lato, Lucida Sans Unicode, Lucida Grande, sans-serif">In the example COURSES table that follows, how do you know it is not normalized? [Note: primary key is underlined]</span></p><p>a. CourseID is the primary Key</p><p>b. None of the options are correct</p><p>c. Course Name is duplicated</p><p>d. Instructor information should be in course table</p><p>e. section is duplicated</p>](https://knowt-user-attachments.s3.amazonaws.com/9b60ab72-d1da-4373-a55d-3e445e3aef4a.jpeg)
In the example COURSES table that follows, how do you know it is not normalized? [Note: primary key is underlined]
a. CourseID is the primary Key
b. None of the options are correct
c. Course Name is duplicated
d. Instructor information should be in course table
e. section is duplicated
c. Course Name is duplicated
In our WordPress assignment, we learned to create a site that discussed a tech talk. Which of the following could we do with WordPress?
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a. Both: Add images, Embed Videos
An "Instance" of a person matches a _______ whereas a "collection" of people matches a ________.
a. Column; table
b. Row; field
c. Column; field
d. Table; key
e. Row; table
e. Row; table
The Network Effect refers to the notion that the value of a network
a. Decreases with the number of users in the network
b. Is only measurable on social networks like Facebook, Twitter, and LinkedIn
c. Is driven by how new it is (newer networks are more valuable)
d. Increases with the number of users in the network
d. Increases with the number of users in the network
_____________ is used in order to have small, well-defined tasks performed by a scalable ad hoc workforce for everyday people.
a. insourcing
b. nearshoring
c. crowdsourcing
d. disinntermediation
e. none of the above
c. crowdsourcing
E-Commerce
the exchange of goods/services/money among two entities supported by communication technology (the internet specifically)
Business to Consumer (B2C)
transaction between businesses and their customers
ex: person buying book from Amazon
Business to Business (B2B)
transaction among businesses
Consumer to business (C2B)
transaction between customer and business
ex: person offers their photography to shutterstock
Consumer to Consumer (C2C)
transaction between people not necessarility working together
person buying something from etsy from someone else
E-Government
used to increase efficiency and effectiveness
Government to Citizen (G2C)
reduces paper
ex: turbo tax
Government to Business (G2B)
License application
Government to Goverment (G2G)
Sharing documents over the internet to different branches of the government
Disintermediation
cutting out the middleman and reaching customers more directly and efficiently
E-banking and online brokerage
paying bills online
people can turn to multiple sites to get info about stock prices
Fintech
refers to technologies that support activities in the financial sector
Brick and Mortar
consist of retailers operating solely in physical retail stores
Click and mortar
online transactions and physical stores
Click only
consist of retailers who use online sales ONLY
The long tail
cater to niche markets in addition to mainstream markets to gain more customers
Mass Customization
generates additional value for customers and profits for produces
examples of brands that successfully implemented mass customization
Dell and Nike
both offer a lot of options
successful e-commerce
designing websites to meet online consumer needs

websites that meet needs: Structure firmness (most important)
no bad links, understandable error messages, privacy/security, speed
websites that meet needs: functional convenience (second important)
ease of use, simple navigation, user feedback, help features, one click ordering, flexible payment, order tracking
websites that meet needs: representational delight (3rd important)
aesthetically pleasing, professional look and feel, color/font/images, consistent layout, no clutter
internet marketing methods: Search marketing
includes paid search
placing ads on websites based on search terms and SEO
SEO (search engine optimization)
optimizing a website and its relative search engine ranking
Internet marketing methods: Display Ads
Simple banner ads
now often contextualized to what the person is viewing
Internet marketing methods: email marketing
extremely low cost
less than a penny an e-mail
effectiveness is easy to track
Internet marketing methods: social media
used for interactive communication and relationship building with customers
Internet marketing methods: mobile marketing
if ads can be tailored to a user’s location, then highly targeted marketing opportunities open up
Internet marketing methods: payment; performance assessment
impression
pay per click/click through
conversion models
beware of click fraud
SEO (Search engine optimization)
attempts to improve a page’s ranking in search engines
Reasons for increase in Mobile EC
faster cell network
powerful handheld device
feature rich apps
location based Mobile commerce (services tailored to location of someone)
Information on the go (looking at reviews)
product and content sales (actually buying things online)
Voice and conversational commerce
smart devices and AI technology
allows purchases using chat and voice commands
collaboration software
aka groupware; represents a class of software that enables people to work together more effectively
synchronous
live; real time communication (face to face)
asynchronous
not live, real time communication
Electronic meeting systems EMS
utilizes networked computers and sophisticated software to support various group tasks
Desktop Videoconferencing
simple and low cost
internet based
Dedicated videoconferecing
organizational conferencing rooms
multiple people and/or locations
highly realistic/excellent video and audio quality
can be extremely expensive (up to 500k)
Intranets and employee portals
share documents and information to people within the organization
Real time access to information
updated information instantly available throughout the organization
enterprise search
company focused, including corporate databases
collaboration
document sharing and co-editing
employee portals
employee benefits self service
Web 1.0
like myspace and stuff
super old; couldn’t function very well
Web 2.0
dynamic web application
allows people to act as consumers and producers (like leaving a review on a product)
Evolving web capabilities: Web 1.0
me
consume
connect ideas
search
find
techies rule
organization
evolving web capabilities: web 2.0
me and you
consume and create
connect ideas and people
receive and give recommendation to friends and others
share
user rule
individual
evolving workspace
generation of social media users
different workplace expectations
portfolio careers
sate of the art tech is valued
don’t just serve, but collaborate with customers
companies now create a corporate culture that embraces trends of digital world
embracing social media attracts and retains top talent
future web capabilities
the semantic web
machine readable web page
Web 3.0
mobility
contextual web
enterprise 2.0
leverage social media to support business processes
blogs
topical blogs of interest to customers
critics call blogs “amateurization of journalism”
microblogging tools (like twitter)
post news to customers
Instant messaging
within the company
with customers
virtual worlds
product showcase
media sharing
webcasting, podcasting
social bookmarking
share internet bookmarks
reddit, pinterest
social cataloging
good reads, IMDB
tagging
manually adding medata data to content
Collective intelligence
open sourced software
wikis
Human based computing (crowdsourcing)
takes advantage of individuals from all over the world of their knowledge, expertise and resources. can be done at a fraction of the cost of normal businesses
open innovation: allows
M-Turk
crowdsourcing marketplace that makes it easier for individuals and businesses to outsource their processes and jobs
Viral marketing
good marketing techniques can be driven by word of mouth or person to person communication
the power of viral marketing can be a great tool
Pitfalls of social media marketin
online reviews
negative reviews from competitors
companies paying for positive reviews
microblogging
easy to “cross a line” and offend
negative publicity can come quickly
social networks
fine line between maintaining control and offending customers
individuals sharing too much personal info
lesson learned
news travels fast
have crisis team and a plan
prepare for worst SM nightmare
monitor environment
respond within 24 hours
What is BI
using IS to gather and analyze info from internal and external sources to make better business decisions
uses PAST data to find out what happened
Advance analytics
tools and techniques used to understand why something happened, predicts future outcomes, or discover hidden patterns in large data sets
Business analytics
used as an umbrella term for BI and AA
big data
high volume, high variety, and high volocity
Structured data
part of high variety
semi-structured data
part of high variety
unstructured data
part of high variety
DBMS
software allow users and programmers to access and manage the database
MSAccess
Database
collection of related tables
Tables (relation)
condensed data of a specific thing
made up of rows (records; tuple)
made up of columns (attributes)
rows (records; tuple)
made up of atttributes (columns)
Primary Key
An attribute (column) that is unique across all records to allow us to distinguish one entity from another
advantages of Databases: minimal data redundancy
single copy of data
advantages of Databases: increase security
simplifies enforcement of access restrictions
advantages of Databases: enforce standards
centralized data management standardized rules
advantages of Databases: concurrency
eliminating redundancy improves consistency
OLTP (online transaction processing)
system that interact with customers and run a business in real time
data marts
mini data warehouse, limited in scope to organizational unit
OLAP (online analytical processing)
complex, multidimensional analyses of data beyond simple queries
measures and facts
dimensions
perspectives on which to view the facts
hierarchically arranged to enable drill down and roll up
OLAP cubes
multidimensional structure of dimensions and measures
Slicing and dicing (OLAP)
analyzing data on subset dimensions
Data mining
discovering “hidden” predictive relationships in the data
complicated algorithms run on large data warehouse
types of data mining algorithms
data mining: association discovery
estimating what types of products are bought if someone buys something else
data mining: clustering
finding natural grouping based on similar metrics
data mining: classification
assigning data into predesigned categories